Tech Today

We explore what businesses are doing today in the application of available data, advanced analytics and innovative technologies.

Consumers prefer the security of biometrics over passwords to protect against fraud

Confidence in biometrics is growing. Our 2022 Global Identity and Fraud Reports looks at other digital consumer online preferences to protect against fraud.

Published: August 23, 2022 by Managing Editor, Experian Software Solutions
Identity theft is a growing concern among digital consumers

Identity theft is now consumer's biggest security worry when transacting online. Our Global Identity & Fraud Report reveals more.

Published: August 16, 2022 by Managing Editor, Experian Software Solutions
Video: 2022 Global Identity & Fraud Report highlights

Find out what consumers want when it comes to security in their online experience and what businesses can do to meet expectations and reduce fraud risk.

Published: July 21, 2022 by Managing Editor, Experian Software Solutions
What online security measures do consumers want from businesses?

We take a look at what consumers are looking for from businesses in terms of security as online activity increases. Our Global Insights Report reveals more.

Published: June 27, 2022 by Managing Editor, Experian Software Solutions
New report in 2022: Experian’s Annual Global Identity & Fraud report launches

The growing expectation that businesses recognise and protect consumers online, and the challenges businesses must overcome to build digital consumer trust.

Published: June 16, 2022 by
Identity and fraud: Experian named top provider of digital identity by Juniper Research

Experian’ is named number one vendor on Juniper Research’s leader board for Experian’s flagship digital identity and fraud platform, Crosscore.

Published: April 4, 2022 by
IWD spotlight: Angela Beteta Quesada on relatable role models in tech

During the week of International Womens' Day, we shine a spotlight on the women thought leaders across Global Decision Analytics.  In this Every Woman Forum, Tech Hub article, Angela Beteta Quesada, Principal DevOps Engineer, Global Decision Analytics, discusses the importance of relatable role models for women in the tech industry and how making the right choices in where and how you work can open up a wealth of different people to learn from. "As a role model I think I am relatable; I like to take risks and opportunities that are a challenge to me — and that I think are going to be good fun. That is how my whole career has developed. I also work well with people and have good communication skills — when I was a junior Java engineer, my mantra was ‘leave it with me’. I think my managers saw that they could throw things at me and have confidence that there was going to be a good result, which is a mindset I still have." Read the article to find out: How important were relatable role models at the start of your tech career? What makes an effective role model, and why? What do you feel young women at the beginning of their career can see in you that will be useful to take with them in their career? How important is it to see more role models combining the realities of motherhood and a high-pressure career? What advice would you give to a young woman starting her career in tech? Do you still look for role models in your own career? Stay in the know with our latest research and insights:

Published: March 9, 2022 by
IWD spotlight: Juniper Research interview Kathleen Maley

During the week of International Womens' Day, we shine a spotlight on the women thought leaders across Global Decision Analytics.  In this Juniper Research interview, Kathleen Maley, VP of Analytics Product Management talks about the current state of data analytics, with the backdrop of Juniper Research's Future of Digital Awards and its recognition of AIS. Watch the video to discover: Current problems with data analytics Broad nature of activities of what is now defined as analytics Model development, model scoring, model regulatory control, model risk management and model deployment Where is data coming from - is it clean and do we understand it? Importance of humans in the development of algorithms Lack of data - where do we need to close gaps? How does looking at the past help with looking to the future - the importance of current/real-time data The expense of maintenance - tech stack - there are now alternatives Democratization of data - expanding credit access by using non-traditional sources of data Talent shortage of data scientists - low-code and no-code Extracting data value for businesses when data is ever-expanding Stay in the know with our latest research and insights:

Published: March 8, 2022 by

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